Senior Data Scientist, Applied AI (Remote) at Brex

Are you ready to join a revolutionary company that empowers the next generation of businesses? Brex offers an integrated corporate card and spend management software, enabling our customers to handle every aspect of spending effortlessly. We support tens of thousands of growing businesses, from early-stage startups to global enterprises.

Why Join Us?

At Brex, you'll have the opportunity to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We are dedicated to building a diverse team and an inclusive culture where your potential is only limited by the size of your dreams. We provide the tools, resources, and support you need to grow your career.

Engineering at Brex

Our Engineering team, encompassing Data, IT, Security, and Software, is responsible for creating innovative products and infrastructure both for Brex and our customers. We believe that engineers should drive business growth through technology and work collaboratively across multiple teams. Our autonomous teams are filled with inclusive individuals eager to learn, teach, and continuously improve how things work. The software we build today lays the foundation for future Brex systems, instilling a strong sense of ownership and pride in our engineers.

Applied AI at Brex

The Applied AI team at Brex leverages cutting-edge AI/ML techniques to empower automation solutions within our spend management offering. Working closely with product, design, and engineering teams, we aim to streamline the experience for our customers through AI/ML automations.

What You’ll Do

We are seeking a strong data scientist to join our efficient and effective Applied AI team. You will be responsible for the full cycle of work, from ideation and research to development, production, and further improvements. This role involves working strategically and tactically with cross-functional stakeholders to balance priorities and deliver impactful solutions.

Responsibilities

• Design and implement spend management solutions using ML and AI techniques.
• Collaborate closely with product managers, designers, and engineers to understand needs and identify opportunities to accelerate AI/ML development and deployment processes.
• Consult and educate internal teams on current and emerging research, technologies, and best practices in ML and LLM for product design and development.
• Work with AI Platform engineers to identify upcoming requirements and continuously evolve the AI platform offering.

Requirements

• 4+ years of industry experience in developing optimization models that drive business impact.
• A passion for delivering data-driven solutions leveraging data, ML, and AI.
• M.S. or Ph.D. in Statistics, Computer Science, Mathematics, Operations Research, Physics, Economics, or other quantitative fields.
• Familiarity with programming languages like Python and machine learning libraries such as SciKit Learn.
• Deep understanding of natural language processing techniques.
• Experience in big data analysis and system integration with ML/LLM solutions.
• Strong understanding of quantitative disciplines such as statistics, machine learning, operations research, and causal inference.
• Experience in productionizing and A/B testing different machine learning models.

Bonus Points

• Experience leveraging commercial or open-source LLM APIs to build solutions, such as OpenAI or llama.
• Experience in the finance industry.

Compensation

The expected salary range for this role is 176,800 - 221,000 CAD. The starting base pay will depend on various factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be part of the total compensation package.

Please be aware of potential targeting by malicious actors seeking personal data. Brex recruiters will only contact you via LinkedIn or email with a domain. Any other outreach should be ignored.

Company Name: Brex

Job Title: Senior Data Scientist, Applied AI (Remote)